Numeric Distribution

Numeric distribution is the percentage of stores in a defined market (or universe of relevant stores) that carry a particular product, with every store counted equally regardless of its size. If a product is stocked in 400 of 1,000 relevant stores, its numeric distribution is 40%. It's the simplest measure of distribution breadth — a straightforward count of how widely a product is available, by number of stores. Numeric distribution answers 'in what proportion of stores is this product available?' without regard to how large or small those stores are or how much they sell.

Numeric distribution is one of the two core distribution measures, paired with ACV distribution. Numeric counts stores equally (each store one unit); ACV distribution weights stores by their sales volume (all-commodity volume). Numeric distribution is simple and intuitive — useful for understanding raw availability and store-count coverage — but it has a significant limitation: it treats a giant supermarket and a tiny convenience store as equal, which they're not in sales terms. So while numeric distribution gives a clear picture of how many stores carry a product, it doesn't reflect how much selling potential that distribution represents, which is why it's read alongside %ACV.

The pairing of numeric and ACV distribution is fundamental to CPG distribution measurement. Numeric distribution = % of stores carrying the product (each equal). ACV distribution (%ACV) = % of total store sales volume represented by the carrying stores (weighted by size). Numeric tells you breadth by store count; %ACV tells you breadth by sales potential. They often differ, and the difference is informative: a product with high numeric but low %ACV is in many small stores but few large ones; high %ACV but low numeric is in a few large, high-volume stores. Neither alone tells the full story — together they reveal both how many stores and how much sales potential the distribution covers.

For most strategic purposes, %ACV is the more meaningful measure of real market coverage (since it reflects sales potential), while numeric distribution adds valuable context about how that coverage is spread across store sizes. Reading them together diagnoses distribution: similar numeric and %ACV suggests even spread across store sizes; %ACV much higher than numeric means concentration in big stores; numeric much higher than %ACV flags that the important large stores are missing. Numeric distribution's role is to provide the store-count picture that, combined with %ACV's sales-weighted picture, gives a complete view of a product's distribution — its limitation (ignoring store size) being exactly what %ACV corrects.

Using numeric distribution well means treating it as one half of the distribution picture — the store-count measure — read alongside %ACV (the sales-weighted measure), not relied on alone. It's useful for understanding raw availability and the breadth of store coverage, and the numeric-vs-%ACV comparison is diagnostic (revealing where coverage is concentrated by store size). Used well, numeric distribution informs decisions about store-count breadth while %ACV informs decisions about sales-potential coverage, and the two together direct distribution strategy with a full understanding of both how many stores and how much volume the distribution reaches.

The failures are relying on numeric distribution alone and mistaking high store count for strong real coverage (ignoring that small stores count the same as large), and not reading it against %ACV to see where the important high-volume stores stand. The discipline is to use numeric distribution as the store-count half of the picture, always read alongside %ACV — leveraging the comparison to understand how distribution is spread across store sizes — recognizing that numeric distribution's simplicity is both its use (clear store-count breadth) and its limit (ignoring the store-size differences that %ACV captures), so the two are complementary, not interchangeable.

Numeric distribution — the percentage of stores carrying a product, each counted equally — is the store-count half of distribution measurement, read alongside sales-weighted %ACV to reveal coverage by store size.

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